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Introduction
The final goal of the clinical examination is the correct
diagnosis, which is essential for choosing of the proper method of
treatment.Data ( Knowledge ) collection is a necessary condition in
achieving this goal ( aim ). There are a lot of methods used in dentistry :
questioning of the patient ( collection of anamnesis ) and of his/her relatives
( where necessary ), medical examination, thermo diagnostics, x-ray, different
laboratory tests ( blood common test, biochemical, cytological, allergological
and other tests ). A dentist usually encounters ( a big number of ) numerous
dental diseases. There are about 100 therapeutic and 150 surgical dental
diseases, 90 of which are different kinds of tumors. Each disease may be acute
or chronic. It may be local or general, at the initial or terminal stage. Each
disease has its own symptoms, which considerably complicates the work,
especially with relatively rare diseases. The systems of such kind give a
possibility to store the data ( knowledge about them ) despite the ( potential
) intellectual possibilities of the dentist.
- Research Topic
- Expert System of Diagnostics of the Maxillofacial Area
Diseases.
- Research Methodology
- Today, necessity of applying computer software in dentistry (
especially in diagnostics ) does not cause any doubt ( Special literature and
statistical data processing improves it ). Our choice is Expert System using
Artificial Intellect methods. Data ( knowledge ) basis created on the production
( rules ), frames and ( or ) ANN will definitely help dentists in exact
diagnostics.
- The purpose of given research is to understand algorithms of
modern, current working systems and improve our choice of the way of
programming. After realization of the best suitable algorithm in programming
language the first aim is to fill base of knowledge with knowledge of skilled
experts in dentistry. It’ll give us possibilities to correct working algorithms
in process of introduction, by a principle of a feedback.
Hypothesis
Overall using of this system in dental clinics will help
avoiding mistakes in diagnostics and will give a complete of the patient’s
medical condition.
Research Results
The interest to this problem arose after one of the dental
clinics in Tbilisi had implemented the Advising System
in Diagnostics of Dental Diseases. This system is only a small part of the
possible future project. |